Conceptualising social media addiction: a longitudinal network analysis of social media addiction symptoms and their relationships with psychological distress in a community sample of adults.

BACKGROUND: Problematic social media use has been identified as negatively impacting psychological and everyday functioning and has been identified as a possible behavioural addiction (social media addiction; SMA). Whether SMA can be classified as a distinct behavioural addiction has been debated within the literature, with some regarding SMA as a premature pathologisation of ordinary social media use behaviour and suggesting there is little evidence for its use as a category of clinical concern. This study aimed to understand the relationship between proposed symptoms of SMA and psychological distress and examine these over time in a longitudinal network analysis, in order better understand whether SMA warrants classification as a unique pathology unique from general distress. METHOD: N = 462 adults (Mage = 30.8, SDage = 9.23, 69.3% males, 29% females, 1.9% other sex or gender) completed measures of social media addiction (Bergen Social Media Addiction Scale), and psychological distress (DASS-21) at two time points, twelve months apart. Data were analysed using network analysis (NA) to explore SMA symptoms and psychological distress. Specifically, NA allows to assess the 'influence' and pathways of influence of each symptom in the network both cross-sectionally at each time point, as well as over time. RESULTS: SMA symptoms were found to be stable cross-sectionally over time, and were associated with, yet distinct, from, depression, anxiety and stress. The most central symptoms within the network were tolerance and mood-modification in terms of expected influence and closeness respectively. Depression symptoms appeared to have less of a formative effect on SMA symptoms than anxiety and stress. CONCLUSIONS: Our findings support the conceptualisation of SMA as a distinct construct occurring based on an underpinning network cluster of behaviours and a distinct association between SMA symptoms and distress. Further replications of these findings, however, are needed to strengthen the evidence for SMA as a unique behavioural addiction.

Differences between DSM-5-TR and ICD-11 revisions of attention deficit/hyperactivity disorder: A commentary on implications and opportunities.

Current ICD-11 descriptions for attention deficit hyperactivity disorder (ADHD) were recently published online, in the same year as the DSM-5-TR (text revised edition) was released. In this commentary, we compare and contrast the DSM-5/DSM-5-TR and ICD-11 diagnostic criteria, summarize important differences, and underscore their clinical and research implications. Overall, three major differences emerge: (1) The number of diagnostic criteria for inattention (IA), hyperactivity (HY) and impulsivity (IM) symptoms (i.e., DSM-5-TR has nine IA and nine HY/IM symptoms, whereas ICD-11 has 11 IA and 11 HY/IM sym-ptoms); (2) the clarity and standardization of diagnostic thresholds (i.e., the diagnostic thresholds for symptom count in IA and HY/IM domains are explicitly specified in DSM-5-TR, whereas in ICD-11 they are not); and (3) the partitioning of HY and IM symptoms into sub-dimensions (i.e., difference in partitioning HY and IM symptom domains relates to the differences between the current and previous editions of DSM and ICD, and this has important research implications). Currently, no ICD-11 based ADHD rating scales exist and while this absence represents an obstacle for respective research and clinical practice, it also presents opportunities for research development. This article highlights these challenges, possible remedies and novel research opportunities.

Social media use and abuse: Different profiles of users and their associations with addictive behaviours.

Introduction: Social media use has become increasingly prevalent worldwide. Simultaneously, concerns surrounding social media abuse/problematic use, which resembles behavioural and substance addictions, have proliferated. This has prompted the introduction of 'Social Media Addiction' [SMA], as a condition requiring clarifications regarding its definition, assessment and associations with other addictions. Thus, this study aimed to: (a) advance knowledge on the typology/structure of SMA symptoms experienced and: (b) explore the association of these typologies with addictive behaviours related to gaming, gambling, alcohol, smoking, drug abuse, sex (including porn), shopping, internet use, and exercise. Methods: A sample of 968 [Mage = 29.5, SDage = 9.36, nmales = 622 (64.3 %), nfemales = 315, (32.5 %)] adults was surveyed regarding their SMA experiences, using the Bergen Social Media Addiction Scale (BSMAS). Their experiences of Gaming, Internet, Gambling, Alcohol, Cigarette, Drug, Sex, Shopping and Exercise addictions were additionally assessed, and latent profile analysis (LPA) was implemented. Results: Three distinct profiles were revealed, based on the severity of one's SMA symptoms: 'low', 'moderate' and 'high' risk. Subsequent ANOVA analyses suggested that participants classified as 'high' risk indicated significantly higher behaviours related to internet, gambling, gaming, sex and in particular shopping addictions. Conclusions: Results support SMA as a unitary construct, while they potentially challenge the distinction between technological and behavioural addictions. Findings also imply that the assessment of those presenting with SMA behaviours, as well as prevention and intervention targeting SMA at risk groups, should consider other comorbid addictions.

Personality inventory for DSM-5-Brief Form (PID-5-BF): Measurement invariance across men and women.

The study examined the measurement invariance (configural, metric, scalar, and residual) of the Personality Inventory for Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) Brief Form (PID-5-BF; Krueger et al., 2013) across gender for the theorized Five-Factor oblique model. A large group of adults (N = 502), with ages ranging from 18 to 67 years, from the Australian general community completed the PID-5-BF. When the Δχ² test was applied, multiple-group confirmatory factor analysis supported configural invariance and full metric and residual invariance. For scalar invariance, at least seven items (constituting 13 thresholds) across the different dimensions lacked invariance for one or more of its thresholds. In addition, controlling all these noninvariance thresholds, women had higher latent mean scores for Negative Affect, and men had higher scores for Antagonism and Disinhibition. When the Δcomparative fit index (ΔCFI) test was applied, the findings also supported the configural invariance model and the full metric and residual invariance models. With the exception of one threshold, all the other thresholds were also invariant. The psychometric and practical implications of the findings are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

A Reevaluation of the Factor Structure, Reliability, and Validity of the Spiritual Well-Being Questionnaire (SWBQ).

The 20-item Gomez and Fisher (Personal Individ Differ 35:1975-1991, 2003) Spiritual Well-Being Questionnaire (SWBQ) is a widely used measure of spiritual well-being. Its theoretical model is a higher-order model with primary factors for personal, communal, environmental, and transcendental well-being, and a secondary global spiritual well-being factor. The current study, conducted in Australia, reevaluated the factor structure of the SWBQ. Unlike previous studies, the current study also used exploratory structural equation modeling (ESEM) to examine the factor structure of the SWBQ and selected the preferred model using not only global model fit values, but also the clarity, reliabilities, and validities of the factors in the models. A total of 227 adults (males = 63; females = 164; M age = 26.1 years; SD = 5.2 years) completed the SWBQ. Based on the model selection criteria applied in the study, the ESEM model with four group factors was selected as the preferred model. However, there was also adequate support for the proposed theoretical higher-order model and the first-order oblique model with the four well-being factors. Concerning our preferred model, its factors showed reasonable clarity for factor loadings and (omega) reliabilities. However, only the communal domain scale was supported empirically for external validity. The implications of the findings for the theoretical model, the use of the SWBQ, and future studies are discussed. In this respect, there are three potential models (theorized higher-order model, 4-factor first-order oblique model, and the ESEM model proposed in this study) that warrant further detailed investigation with a larger, more representative population and additional validation measures.

Inter-relationships between ADHD, ODD and impulsivity dimensions in emerging adults revealed by network analysis: extending the 'trait impulsivity hypothesis'.

Background: The trait-impulsivity hypothesis posits impulsivity as the underlying substrate of Attention-deficit/hyperactivity disorder (ADHD) and Oppositional defiant disorder (ODD) symptom expressions. The current study applied network analysis to evaluate the inter-relationships of dimensions within ADHD (inattention and hyperactivity/impulsivity) and ODD (anger/irritable, vindictiveness, and argumentative/defiant behavior) with components of impulsivity as captured by the UPPS-P model (negative urgency, lack of premeditation, lack of perseverance, sensation seeking, and positive urgency). Method: A total of 324 emerging adults (women = 246) from the general community completed questionnaires covering these dimensions. Results: Our findings showed that the ADHD and ODD dimensions were associated differentially with different types of impulsivity, in their unique patterns of network connectivities, a possibility that has had little attention in the trait-impulsivity hypothesis literature. Conclusions: This study is the first to tease out the unique associations of the ADHD and ODD dimensions with different types of impulsivity, and in that way provide new contributions to our understanding of the existing trait impulsivity theory. Our findings would be especially relevant to those interested in understanding how different dimensions of trait impulsivity underly the ADHD and ODD dimensions.

Factor structure of ten psychoactive substance addictions and behavioural addictions.

Over the past two decades, many problematic/excessive behaviours have increasingly been conceptualized as addictions due to their similarity with more traditional psychoactive substance addictions. The primary aim of the present study was to simultaneously examine the factor structure of three psychoactive substance addictions (alcohol use, cigarette smoking, and substance use) and seven behavioural addictions (sex, social media use, shopping, exercise, online gambling, internet gaming, and internet use), using exploratory factor analysis (EFA; N = 481) and confirmatory factor analysis (CFA; N = 487). A total of 968 participants completed an online survey including ten psychometric scales assessing the ten different potentially addictive behaviours. EFA supported a two-factor solution, with different factors for the psychoactive substance and behavioural addictions (excluding exercise addiction). CFA supported the two-factor model in a separate sample. There was good support for the concurrent and discriminant validities of the CFA latent factors and the reliability of the behavioural latent factor in the two-factor CFA model. While there was support for the concurrent and discriminant validities of the psychoactive substance latent factor, there was insufficient support for its reliability. The taxonomic, theoretical, and clinical implications of the findings are discussed.

Network analyses of Oppositional Defiant Disorder (ODD) symptoms in children.

Based on parent and teacher ratings of their children, this study used regularized partial correlation network analysis (EBIC glasso) to examine the structure of DSM-5 Oppositional Defiant Disorder (ODD) symptoms. Parent and teachers (N = 934) from the general community in Malaysia completed questionnaires covering DSM-5 ODD symptoms. The most central ODD symptom for parent ratings was anger, followed by argue. For teacher ratings, it was anger, followed by defy. For both parent and teacher ratings, the networks revealed at least medium effect size connections for temper and argue, defy, and argue, blames others, and annoy, and spiteful and angry. Overall, the findings were highly comparable across parent and teacher ratings, and they showed a novel understanding of the structure of the ODD symptoms. The clinical implications of the findings for assessment and treatment of ODD are discussed.

Confirmatory factor analysis and exploratory structural equation modeling of the factor structure of the Questionnaire of Cognitive and Affective Empathy (QCAE).

The Questionnaire of Cognitive and Affective Empathy (QCAE) is a multiple dimensional measure of cognitive empathy [comprising primary factors for perspective taking (PT), online simulation (OS)], and affective empathy [comprising primary factors for emotion contagion (EC), proximal responsivity (PRO), and peripheral responsivity (PER)]. This study used independent clusters confirmatory factor analysis (ICM-CFA) and exploratory structural equation modeling (ESEM) to examine the scale's factor structure. A general community sample of 203 (men = 43, women = 160) between 17 and 63 years completed the QCAE. Although both the five-factor oblique and second order factor models showed good model fit, and clarity in the pattern of factor loadings, in the second-order factor model, none of the primary factors loaded significantly on their respective secondary factors, thereby favoring the five-factor oblique model. The factors in this model were supported in terms of external validity. Despite this, the factor for PRO in this model showed low reliability for meaning interpretation. A revised four-factor oblique model without the PRO factor showed good fit, clarity in the pattern of factor loadings, and reliability and validity for the factors in this model, thereby suggesting this to be the best model to represent ratings on the QCAE.

Network analyses of internet gaming disorder symptoms and their links with different types of motivation.

The study used regularized partial correlation network analysis (EBICglasso) to examine the structure of DSM-5 internet gaming disorder (IGD) symptoms (network 1); and the associations of the IGD symptoms in the network with different types of motivation as defined in the self-determination theory i.e., intrinsic motivation (engaging in an activity for something unrelated to the activity), identified regulation (engaging in the activity because it aligns with one's values and/or goals), external regulation (engagement in activity being driven by external rewards and/or approval), and amotivation (engaging in an activity without often understanding why) (network 2). Participants were 968 adults from the general community. They completed self-rating questionnaires covering IGD symptoms and different types of motivation. The findings for network 1 showed mostly positive connections between the symptoms within the IGD network. The most central symptom was loss of control, followed by continuation, withdrawal symptoms, and tolerance. In general, these symptoms were more strongly connected with each other than with the rest of the IGD symptoms. The findings for network 2 showed that the different types of motivation were connected differently with the different IGD symptoms. For instance, the likeliest motivation for the preoccupation and escape symptoms is intrinsic motivation, and for negative consequences, it is low identified regulation. Overall, the findings showed a novel understanding of the structure of the IGD symptoms, and the motivations underlying them. The clinical implications of the findings for assessment and treatment of IGD are discussed.

The role of internet gaming in the association between anxiety and depression: A preliminary cross-sectional study.

BACKGROUND: Disordered Internet gaming is thought to be perpetuated by one's need to escape their real-life distress or mental health symptoms, which may in turn generate depressive feelings. Nevertheless, moderate engagement with Internet games has also been suggested to provide relief, thus improving one's mood. This study aspires to clarify the contribution of Internet gaming and gender in the association between anxiety and depression. METHODS: A large sample of Internet gamers (N = 964) were recruited online. Disordered Internet gaming was assessed with the Internet Gaming Disorder Scale, 9 Items Short Form (IGD9S-SF). Anxiety and depression symptoms were assessed using the Depression, Anxiety and Stress Scale, 21 items (DASS-21). RESULTS: Regression, moderation and moderated moderation analyses accounting for the effects of gender on the relationship between disordered gaming, anxiety, and depression found a significant effect for anxiety symptoms on depression symptoms and a significant interaction between anxiety and Internet gaming disorder on depression symptoms. Findings support the theory that although anxious gamers bear a higher depression risk, this is buffered with lower and exacerbated with higher disordered gaming symptoms. CONCLUSION: Findings suggest a dual role of Internet gaming in the association between anxiety and depression, depending on the intensity of one's disordered gaming symptoms. Depression prevention and intervention protocols should be optimized by considering the effects of Internet gaming among anxious gamers by focusing on the intensity of a gamer's involvement and any gaming disorder symptoms. Further research should include clinical samples to better understand this interaction.

Adolescent Popularity: Distinct Profiles and Associations with Excessive Internet Usage and Interpersonal Sensitivity.

Peer popularity constitutes a pivotal developmental task to adolescents' current and future adaptation. This study identified distinct adolescent popularity profiles and explored their links with excessive Internet usage and interpersonal sensitivity. The sample included 2090 students attending Greek high schools (Mage = 16.16, SD = 0.91). Their popularity was measured via self-report and peer sociometric means. They also responded to the Internet Addiction Test (IAT) and the Interpersonal Sensitivity subscale of the Symptom Checklist-90-Revised (SCL-90-R). A sequence of latent profile analysis, ANOVAs and linear regression models were performed. Three distinct popularity profiles were revealed: the "Average Confident" (68.4%), the "Socially Vulnerable" (26.8%), and the "Insecure Bi-Strategic" (4.8%). These profiles did not significantly vary regarding their Internet usage and interpersonal sensitivity behaviours. Interestingly, lower self-perceived popularity predicted higher interpersonal sensitivity, whereas higher actual popularity predicted excessive Internet use. Findings have important implications for student-tailored mental health prevention and intervention practices.

Unraveling the Optimum Latent Structure of Attention-Deficit/Hyperactivity Disorder: Evidence Supporting ICD and HiTOP Frameworks.

Attention Deficit/hyperactivity disorder (ADHD) is conceptualized differently in the Diagnostic and Statistical Manual (DSM-5), the International Classification of Diseases-10 (ICD-10), and the Hierarchical Taxonomy of Psychopathology (HiTOP) frameworks. This study applied independent cluster confirmatory factor analysis (ICM-CFA), exploratory structure equation model with target rotation (ESEM), and the S-1 bi-factor CFA approaches to evaluate seven ADHD models yielded by different combinations of these taxonomic frameworks. Parents and teachers of a community sample of children (between 6 and 12 years of age) completed the Disruptive Behavior Rating Scale (for ADHD symptoms) and the Strengths and Difficulties Questionnaire (for validation). Our findings for both parent and teacher ratings provided the most support for the S-1 bi-factor CFA model comprised of (i) a g-factor based on ICD-10 impulsivity symptoms as the reference indicators and (ii) inattention and hyperactivity as specific factors. However, the hyperactivity-specific factor lacked clarity and reliability. Thus, our findings indicate that ADHD is best viewed as a disorder primarily reflecting impulsivity, though with a separable inattention (but no hyperactivity) component, i.e., "ADID (attention deficit/impulsivity disorder)." This model aligns with the HiTOP proposals.

In search of the optimum structural model for Internet Gaming Disorder.

BACKGROUND: Internet gaming Disorder (IGD) constitutes a recently proposed clinical disorder (American Psychiatric Association, Diagnostic and statistical manual of mental disorders, 2013). The present study examined if IGD is best conceptualized as categorical (present/absent), or dimensional (severity ranging from low to high), or both (i.e., hybrid of categorical/dimensional). METHODS: Ratings of the nine DSM-5 IGD symptoms, as presented in the Internet Gaming Disorder Scale 9-Short Form (Pontes & Griffiths, Comput Hum Behav 45:137-143, 2015), from 738 gamers, aged 17 to 72 years, were collected. Confirmatory factor analysis (CFA), latent class analysis (LCA), and factor mixture modelling analysis (FMMA) procedures were applied to determine the optimum IGD model. RESULTS: Although the findings showed most support for a FFMA model with two classes and one factor, there was also good statistical and substantive support for the one-factor CFA model, and the LCA model with three classes. CONCLUSION: It was concluded that while the optimum structure of IGD is most likely to be a hybrid model (i.e., concurrently categorical and dimensional), a uni-dimensional model and/or a three-class categorical model are also plausible.

Symptom Checklist-90-Revised: A structural examination in relation to family functioning.

The accurate assessment of psychopathological behaviours of adolescents and young adults is imperative. Symptom Checklist-90-Revised (SCL-90-R) is one of the most comprehensive and widely used scales addressing this purpose internationally. Interestingly, associations between the different SCL-90 symptoms and family functioning have been highlighted. Nevertheless, the scale's factorial structure has often been challenged. To contribute in this area, this study scrutinizes the psychopathological dimensions of the Symptom Checklist-90-Revised (SCL-90-R) in a large cohort of high school students (Mean age = 16.16; SD = .911) from Greece. It addresses this aim by: a) using first order and bi-factor confirmatory factor analysis, and exploratory structural equation models and; b) investigating the factors' associations with family functioning. A total of 2090 public Greek High School students completed the SCL-90-R and the Family Adaptability and Cohesion Scale IV (FACES-IV) covering family functioning, satisfaction and communication. Six different solutions, yielded by separate permutations of CFA, ESEM, and bifactor models, were evaluated. Based on global fit, the clarity, reliabilities and the family functioning links of the dimensions in the models, the ESEM oblique model with the theorized nine factors emerged as the optimum. This model had adequate fit, and symptom dimensions were well defined. Also six of the nine factors demonstrated external associations with family functioning, satisfaction and communication. The clinical assessment benefits of these results are discussed.

ADHD symptoms, the current symptom scale, and exploratory structural equation modeling: A psychometric study.

The aim of the study was to use exploratory structural equation modelling (ESEM) to investigate support for an ADHD factor model with group factors for inattention (IA), hyperactivity (HY), and impulsivity (IM), as proposed in in ICD-10. A total of 202 adults (121 females and 81 males), aged between 18 and 35 years, from the general community, completed the Current Symptoms Scale (CSS). The results for the model showed good global fit, good convergent and divergent validities. However, the IA and IM factors, but not the HY factor, were clearly defined and demonstrated acceptable reliabilities. Taken together, these finding indicate that a revised ESEM model without the HY factor (i.e. with only the IA and IM symptoms) is an appropriate structure for modeling adult ratings of the ADHD behaviors described in the CSS. The taxonomic, theoretical and clinical implications of the findings for ADHD in general are discussed.

Reinforcement Sensitivity Theory of Personality Questionnaire: Factor Structure Based on CFA and ESEM, and Associations with ADHD.

Revised reinforcement sensitivity theory (r-RST) of personality is a major neuropsychological theory of motivation, emotion and personality. This paper presents the results of a study examining: (1) the factor structure of the Reinforcement Sensitivity Theory of Personality Questionnaire (RST-PQ) using confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM); and (2) the relationships of the r-RST constructs in the RST-PQ with attention deficit hyperactivity disorder (ADHD) symptom groups of inattention (IA) and hyperactivity/impulsivity (HI). A total of 572 (Sample 1) and 309 (Sample 2) adults completed the RST-PQ. Participants in Sample 2 also completed a questionnaire measuring ADHD symptoms. Results revealed more support for the ESEM model with six factors than the CFA model. For both the ESEM and CFA models, both IA and HI symptom groups were associated positively with the RST-PQ constructs of behavioral inhibition system (BIS) and behavioral approach system (BAS) Impulsivity, with IA also associated negatively with the BAS-Goal-Drive Persistence. The theoretical implications of these findings for understanding the factor structure of the RST-PQ, and for ADHD (IA and HI) in terms of r-RST, are discussed.

ROC Analyses of Relevant Conners 3-Short Forms, CBCL, and TRF Scales for Screening ADHD and ODD.

Receiver operating characteristic curve analysis was used to examine and compare the diagnostic accuracy of the Conners 3-Parent Short Form (C 3-P(S)), and the Conners 3-Teacher Short Form (C 3-T(S)) inattention and hyperactivity/impulsivity scales, and the Child Behavior Checklist (CBCL) and Teacher's Report Form (TRF) attention problems scales, to distinguish those with and without attention deficit/hyperactivity disorder (ADHD). It also examined and compared the diagnostic accuracy of the C 3-P(S) and C 3-T(S) Aggression (AG) scales, and the CBCL and TRF Aggressive Behavior (AB) scales, to distinguish those with and without oppositional defiant disorder (ODD). The study used archival data (N = 150-261) involving a large group of clinic-referred children aged between 6 and 11 years who had been interviewed for clinical diagnosis of ADHD and ODD using the Anxiety Disorders Interview Schedule for Children (ADISC-IV) as the reference standard, and then administered one or more of the screening measures. The findings provided empirical support for the use of the C 3-P(S) and CBCL for identifying ADHD and ODD, with the CBCL aggressive behavior scale having better ability to detect ODD. The implications of the findings for using the screening scales for diagnoses of ADHD and ODD are discussed.

Confirmatory Factor Analysis and Exploratory Structural Equation Modeling of the Structure of Attention-Deficit/Hyperactivity Disorder Symptoms in Adults.

This study examined the structure of attention-deficit/hyperactivity disorder (ADHD) symptoms in an adult community sample using first-order confirmatory factor analysis, exploratory structural equation modeling (ESEM), and bifactor confirmatory factor analysis and ESEM models, with two group factors (inattention [IA] and hyperactivity/impulsivity [HY/IM]) and two different three group factors (IA, hyperactivity [HY], and impulsivity [IM]; and IA, motoric HY/IM, and verbal HY/IM). A total of 738 adults (males = 374 and females = 364) between 17 and 72 years of age completed the Adult ADHD Self-Report Scale. The results provided most support for the ESEM model with group factors for IA, motoric HY/IM, and verbal HY/IM. The factors in this model were reasonably well defined, had good internal consistency omega reliabilities, and had support for their external validities, thereby making it a suitable model for ratings of the ADHD symptoms presented in the Adult ADHD Self-Report Scale. The theoretical and clinical implications of the findings are discussed.

Greek Validation of the Factor Structure and Longitudinal Measurement Invariance of the Strengths and Difficulties Questionnaire-Self Report (SDQ-SR): Exploratory Structural Equation Modelling.

The study examined the factor structure and longitudinal measurement invariance over three time points (1-year apart) of the Strengths and Difficulties Questionnaire-Self Report (SDQ-SR) for ratings provided by adolescents in Greece. It used exploratory structural equation modelling (ESEM) to achieve these two goals. At time point one, a total of 968 adolescents (males = 508, and females = 460) between 12 and 17.9 years completed the SDQ-SR. In relation to factor structure, ESEM tested the fit of one- to five-factor models. The findings were interpreted as indicating most support for the ESEM model with three factors (the factors being dysregulation, peer problems, and prosocial behaviour). This model showed support for configural invariance and full metric invariance across the three time points. Except for two thresholds, all other thresholds were also invariant across the three time points. Thus, there was good support for longitudinal measurement invariance. The implications of the findings for use of the SDQ-SR are discussed.